An LC-MS method based on iTRAQ labeling and high resolution FT-OrbiTrap mass spectrometry was used for the proteomic analysis of 23 human ThinPrep cervical smear specimens. The analysis of three 8-plex sample sets yielded the identification of over 3200 unique proteins at FDR < 1%, of which over 2300 proteins were quantitatively profiled in at least one of the three experiments.

2.57E3Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.35E3Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.66E3Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.59E3Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.1E3Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

9.95E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

9.52E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

9.49E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

8.97E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

8.82E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

7.82E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

7.71E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

7.31E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

6.06E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

5.92E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

5.5E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

5.23E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

4.78E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.89E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.72E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.44E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.43E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.41E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.33E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.19E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.18E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.14E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.13E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.91E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.88E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.79E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.75E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.7E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.65E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.59E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.4E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.37E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.34E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.3E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.12E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.09E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.02E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.02E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.02E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.98E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.96E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.78E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.75E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.75E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.73E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.